Estimated Age Effects in Athletic Events and Chess
AbstractRates of decline are estimated using record bests by age for chess and for various track and field, road running, and swimming events. Using a fairly flexible functional form, the estimates show linear percent decline between age 35 and about age 70 and then quadratic decline after that. Chess shows much less decline than the physical activities. Rates of decline are generally larger for the longer distances, and for swimming they are larger for women than for men. An advantage of using best-performance records to estimate rates of decline is that the records are generally based on very large samples. In addition, the age range is large. In this study the age range is 35 to 100 for swimming, 35 to 98 for track and field and running, and 35 to 94 for chess. The estimates also do not suffer from traditional forms of selection bias.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Cowles Foundation for Research in Economics, Yale University in its series Cowles Foundation Discussion Papers with number 1495.
Length: 27 pages
Date of creation: Nov 2004
Date of revision: Feb 2006
Publication status: Published in Experimental Aging Research (2007), 33(1): 37-57
Note: CFP 1212.
Contact details of provider:
Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA
Phone: (203) 432-3702
Fax: (203) 432-6167
Web page: http://cowles.econ.yale.edu/
More information through EDIRC
Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
Find related papers by JEL classification:
- J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- I10 - Health, Education, and Welfare - - Health - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-02-13 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ray C. Fair, 1991.
"How Fast Do Old Men Slow Down?,"
Cowles Foundation Discussion Papers
989, Cowles Foundation for Research in Economics, Yale University.
- Schmidt, Peter, 1976. "On the Statistical Estimation of Parametric Frontier Production Functions," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 238-39, May.
- Fabrizio Castellucci & Giovanni Pica, 2009.
"The Age-Productivity Gradient: Evidence from a Sample of F1 Drivers,"
CSEF Working Papers
226, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Castellucci, Fabrizio & Padula, Mario & Pica, Giovanni, 2011. "The age-productivity gradient: Evidence from a sample of F1 drivers," Labour Economics, Elsevier, vol. 18(4), pages 464-473, August.
- Fabrizio Castellucci & Mario Padula & Giovanni Pica, 2009. "The age-productivity gradient: evidence from a sample of F1 drivers," Working Papers 2009_16, Department of Economics, University of Venice "Ca' Foscari".
- Ray C. Fair, 2005.
"Estimated Age Effects in Baseball,"
Cowles Foundation Discussion Papers
1536, Cowles Foundation for Research in Economics, Yale University, revised Mar 2007.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Glena Ames).
If references are entirely missing, you can add them using this form.